| --- |
| license: apache-2.0 |
| task_categories: |
| - other |
| tags: |
| - biology |
| - single-cell |
| - benchmark |
| - bioinformatics |
| size_categories: |
| - n<1K |
| --- |
| |
| # scBench Canonical Data Files |
|
|
| This dataset contains the .h5ad data files for the scBench canonical subset (30 evaluations across 5 platforms). |
|
|
| ## About scBench |
|
|
| scBench is a benchmark for agentic single-cell RNA-seq analysis. It evaluates whether AI agents can solve practical bioinformatics tasks with deterministic grading. |
|
|
| - **Paper**: https://arxiv.org/abs/2602.09063 |
| - **GitHub**: https://github.com/latchbio/scbench |
| - **Inspect Evals**: https://github.com/UKGovernmentBEIS/inspect_evals |
| |
| ## Files |
| |
| This dataset includes 18 .h5ad files corresponding to the canonical subset: |
| |
| - **Platforms**: Chromium, CSGenetics, Illumina, MissionBio, ParseBio |
| - **Task categories**: QC, normalization, dimensionality reduction, clustering, cell typing, differential expression, trajectory analysis |
| |
| ## Usage |
| |
| These files are used with the scBench evaluation in inspect_evals: |
|
|
| ```bash |
| pip install inspect-evals |
| uv run inspect eval inspect_evals/scbench --model anthropic/claude-haiku-4-5-20251001 |
| ``` |
|
|
| ## License |
|
|
| Apache 2.0 (following the scBench upstream license) |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite the scBench paper: |
|
|
| ```bibtex |
| @misc{scbench2025, |
| title={scBench: A Benchmark for Agentic Single Cell Data Analysis}, |
| author={LatchBio}, |
| year={2025}, |
| eprint={2602.09063}, |
| archivePrefix={arXiv} |
| } |
| ``` |
|
|